10 NEAT: NeuroEvolution of Augmenting Topologies

This chapter covers

  • Building evolving augmenting topological networks
  • Visualizing a NeuroEvolution of Augmenting Topologies network
  • Exercising the capabilities of NeuroEvolution of Augmenting Topologies
  • Exercising NeuroEvolution of Augmenting Topologies to classify images
  • Uncovering the role of speciation in neuroevolution

Over the course of the last couple of chapters, we explored the evolutionary optimization of generative adversarial and autoencoder networks. Much like our previous chapters, in those exercises, we layered or wrapped evolutionary optimization around DL networks. In this chapter, we break from distributed evolutionary algorithms in Python (DEAP) and Keras to explore a neuroevolutionary ...

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